CHR 2023, Paris, December 6-8

In the arts and humanities, the use of computational, statistical, and mathematical approaches has considerably increased in recent years. This research is characterized by the use of formal methods and the construction of explicit, computational models. This includes quantitative, statistical approaches, but also more generally computational methods for processing and analyzing data, as well as theoretical reflections on these approaches. Despite the undeniable growth of this research area, many scholars still struggle to find suitable research-oriented venues to present and publish computational work that does not lose sight of traditional modes of inquiry in the arts and humanities. This is the scholarly niche that the CHR conference aims to fill. More precisely, the conference aims at

• Building a community of scholars working on humanities research questions relying on a wide range of computational and quantitative approaches to humanities data in all its forms. We consider this community to be complementary to the digital humanities landscape.
• Promoting good practices through sharing “research stories”. Such good practices may include, for instance, the publication of code and data in order to support transparency and replication of studies; pre-registering research design to present theoretical justification, hypotheses, and proposed statistical analysis; or a redesign of the reviewing process for interdisciplinary studies that rely on computational approaches to answer questions relevant to the humanities.
  
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